ASR training
Read speech, spontaneous conversation, noisy environment, accented, and domain-specific recordings for production-grade speech recognition.
MULTI-SPEAKER · DOMAIN · NOISY
Studio-grade voice, [on consent].
Recordings from identity-verified speakers, captured in defined audio specs, under consent built for the voice AI era. Purpose-built for ASR, TTS, voice cloning, and conversational AI.
Most voice datasets were built for a world before voice cloning.
Speakers signed consent forms that never imagined synthetic speech. Licenses did not mention derivative voices. Demographic metadata was self-reported and unverified. Recordings that passed your audio QA two years ago are now landing in legal review.
The problem is not the audio. It is the paperwork attached to it.
Why this holds up
Named speakers
Every recording traces to an identity-verified speaker who signed project-specific consent. No self-reported guesses.
Voice-cloning rights by design
Consent explicitly covers derivative synthetic speech, voice cloning, and usage duration. Not implied. Signed.
Studio-grade, everywhere
Defined audio specs across every session: sample rate, bit depth, noise floor, clipping. Files failing the bar are rejected before they reach you.
Demographic [precision]
Age, gender, accent, dialect, native language. Sourced to your target distribution, verified before the first session starts.
What we collect
TTS recording
High-fidelity single-speaker and multi-speaker corpora. Studio conditions, expressive styles, audiobook-grade neutrality.
STUDIO · EXPRESSIVE · NEURAL
Voice cloning & synthesis
Single-speaker hours with explicit derivative-voice consent. Built for teams shipping synthesis models in a regulated environment.
CLONING · DERIVATIVE · SIGNED
Speaker verification
Multi-session recordings per speaker, diarization corpora, anti-spoofing sets. Designed for voiceprint and biometric pipelines.
VERIFICATION · DIARIZATION · ANTI-SPOOF
Conversational AI
Two-speaker dialogue, turn-taking, interruption handling, and domain-specific corpora (healthcare, contact-centre, service).
TURN-TAKING · INTERRUPTION · DOMAIN
Wake-word & command
Short-form utterances captured in controlled conditions. Wake-word, hotword, and intent-tagged command data for voice interfaces.
WAKE · COMMAND · UTTERANCE
How a voice project runs
Scope
Tell us the voice AI task (ASR, TTS, cloning, verification), target languages, demographic distribution, audio specs, and volume. We return a scoped plan and sample recordings in 48 hours.
Source & record
Speakers are sourced from a network across 60+ countries and 50+ languages, identity-verified, demographic-confirmed, and consent-signed before the first session. Studio-grade capture, every time.
Verify & deliver
Every file passes audio QC: noise floor, clipping, silence ratio, sample rate, transcript alignment. Peer review plus centralized QA. Ships with speaker metadata, consent versions, and rights scope attached.
The Human Standard, applied to every voice session.
What ships with every voice file
- Identity
- Verified speaker, anonymized for delivery
- Demographics
- Age, gender, accent, dialect, native language
- Consent
- Signed version, voice cloning rights explicit
- Rights
- Commercial, derivative, and synthesis flags
- Audio specs
- Sample rate, bit depth, format, noise floor
- Capture
- Session timestamp, environment class
- Quality
- Audio QC scores, transcript WER
- Transcript
- Word-level timestamps, speaker diarization
- Card
- Per-delivery documentation, covering everything above
If your legal team asks whether this speaker consented to voice cloning, the answer is already in the file.
Who it's for
Voice AI & TTS companies
Production model training, voice cloning, and synthesis across languages and speaking styles. Consent frameworks that hold up under regulatory review.
ASR & speech recognition teams
Large-scale transcribed speech with accent diversity, noisy environments, and domain-specific vocabulary for production-grade recognition.
Conversational AI & voice-agent teams
Turn-taking dialogue, interruption handling, and domain-specific conversational corpora for real-time voice agents.
Questions
Tell us about the voices.
Share the languages, the demographic mix, and the audio specs you need. We come back within one business day with sample recordings and a scoped plan.